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This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY. Biological
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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static
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their reliability and real-time performance? Then apply for the PhD position on Adaptive Connectivity Architectures for Cyber-Physical Systems! Information Modern cyber-physical systems (CPS), such as semiconductor
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. This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as
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Rapid adaptation in plants School of Biosciences PhD Research Project Self Funded Dr Luke Dunning Application Deadline: Applications accepted all year round Details We are inviting applications
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active morphing wingtip using smart materials that provide both actuation and self‑sensing. The PhD project is expected to start in September 2026 or soon after. The successful applicant will receive
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human participants Acquire multimodal data in human participants, including pupillometry, behavioral measures, and fMRI Integrate real-time pupil-based self-regulation into adaptive learning cognitive
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benefit from knowing the wind field ahead to model aerodynamic forces correctly. However, building robust perception systems that can efficiently adapt in a self-supervised manner to novel environments
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influence the adaptability and evolvability of diploids and polyploids. Your profile You have a PhD in Computational Biology, Evolutionary Biology, (Bio)Engineering, Mathematics or Physics. You have expertise
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influence the adaptability and evolvability of diploids and polyploids. Your profile You have a PhD in Computational Biology, Evolutionary Biology, (Bio)Engineering, Mathematics or Physics. You have expertise